Grab a Big Data Surfboard or Get Left Behind!

“Land was wealth 300 years ago. So, the person who owned the land owned the wealth. Later wealth was in factories and production, and America rose to dominance. The industrialist owned the wealth. Today, wealth is in information. And the person who has the most timely information owns the wealth. The problem is that information flies around the world at the speed of light. The new wealth cannot be contained by boundaries and borders as land and factories were. The changes will be faster and more dramatic. There will be a dramatic increase in number of new multimillionaires. There also will be those left behind.”

Two things strike me in this quote by Robert Kiyosaki, author of Rich Dad Poor Dad.

The first is that it incapsulates the world we live in now. A world where information is power. We see this in practice today as the biggest companies now are the ones who use data the same way companies 100 years ago used oil. Nothing new here.

The second thing is that those who control the information will be successful and more importantly those who do, not, will be left behind. This my biggest fear right now. Watching so many businesses being left behind because they don’t have control of information.

Experts have talked about Industry 4.0, the Information Age, the power of Big Data, etc. ad nauseum. But people are not talking much about those being left behind. At least not in the context of being data-driven.

The past two years we have talked a lot about the Trump voter, feeling left behind financially. But we aren’t talking much about the data starved companies that employed a lot of them.

We all know that automation, innovation and globalization combined to spell the end of a lot of companies. But we don’t really talk about how the same companies ultimately ended up failing because they didn’t understand how to use their data better.

Big Data represents a massive wave of disruption that will continue to smash companies like a tsunami. Only those who can ride the wave successfully will be prepared. Analytics is our surfboard to make sure our organization doesn’t get left behind and that we are able to surf the Big Data wave.

Those that master analytics are the new multimillionaire that Kiyosaki mentions. They use data science, build predictive models and have figured out machine learning and artificial intelligence.

The ones that are left behind are the ones still using MS Excel to do rudimentary reporting. Even ones who have started using some basic business intelligence tools and are gaining valuable insight from their data will struggle against the bigger, more data-driven competitors that make multimillionaires of the best data surfers.

One way to know if your organization is in trouble is ask this one simple question. Does the way data is used inside your business look like the way data is used in your personal life? Can we do at work what we can do with Facebook, Netflix, Amazon, Google, etc. at home?

In most cases there is probably a pretty big gap. We process data at work in batches, sometimes only at month end. The analysis takes days and the reports we use to make decisions are only looking at the past. We know who our customers have been, but we are guess who they will be in the future. We hire people not on who is likely to bring the most value to our business, but the one with the best resume and the best interview skills. Does any of this sound familiar?

If it does than that sound you hear in the background, getting louder and starting to impact what you do is the wave of disruption.

If you don’t want to be left behind, crushed by big data, and you want your organization to keep making millionaires than you had better start learning to surf and to do that, you will need a high-quality board.

Dan Meyer heads Sonic Analytics, an analytics advocacy with offices in Manila, the San Francisco Bay Area and as of February 2019, Ocala, FL. With over 20 years in Big Data, Dan is one of the most sought-after public speakers in Asia and has recently begun offering public training seminars in the United States. Dan has also recently joined the Powerteam International family as a small business analytics resource speaker.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

As citizens of this great democracy, we need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). This approach to a data savvy work force starts in school. So, we started an internship program to empower our youth to use Analytics, plan Strategy and Present their insights… ASP!

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress like Saint Leo University’s Women in Data + Science Program and the Data + Women of Tampa Meet Up Group.

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Amazon Will Spend $Millions Up Skilling Its Workforce.. Shouldn’t You?

Saw this article in the New York Times Today

If Amazon is investing in up skill training, because they can see what’s coming, why wouldn’t everyone else? Offering companies analytics and data science up skill training seems like a sound business model right? And that my friends, is why we have Sonic Analytics.

Give you and your team access to skills on the future. #dataspark#sonicanalytics#dataiswealth

I ran a data science-centric program the past 18 months to do just this for Accenture’s Philippines operation. We put over 500 Accenture employees through our Applied Analytics Training Series covering topics like Data Mining, Blending and Visualization, discussed case studies by the likes of Google, Best Buy and HP, and conducted exercises giving attendees a chance to design business dashboard prototypes, build predictive models in Excel and practice data story telling. We can do the same for you.

Dan Meyer heads Sonic Analytics, an analytics advocacy with offices in Manila, the San Francisco Bay Area and as of February 2019, Ocala, FL. With over 20 years in Big Data, Dan is one of the most sought-after public speakers in Asia and has recently begun offering public training seminars in the United States. Dan has also recently joined the Powerteam International family as a small business analytics resource speaker.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

How To Use Data To Make a Business More Profitable

I’m often asked how investing in analytics will make a small business more profitable?

In my answer, I often quote a few data points from a study of 400 companies that the consulting firm Bain conducted. They found the companies with the most developed analytics capabilities commanded a larger market share. In addition, they were twice as likely to be in their sector’s top 25% for profitability, and five times more likely to make swifter decisions than competitors. Considering these statistics, businesses that are not exploiting the potential of big data analytics are certain to fall behind.

Sometimes I mention a study by the University of Texas that analyzed data sets from Fortune 1000 corporations and measured the impact data analytics had on profits. Some notable findings included:

  • Companies could increase profit by more than $2 billion a year by making just 10% of available data usable.
  • Return on equity increased by 16% by making data more accessible.
  • When advanced reporting was deployed, return on investment increased by 0.7% — which is equal to $2.87 million in additional revenue.
  • Most importantly, a comparably low investment in data analytics was required to produce these significant gains.

But just quoting a bunch of statistics is far from compelling.

That’s one of the challenges of “selling” big data solutions to small businesses. All the stats are not very relatable.

It takes time to get to know a business in a way that a tailored solution can be designed. Every business uses data differently, so no two solutions are the same.

That is why I walk entrepreneurs, small business owners and leaders through an assessment. With this we link hinderances in their analytics process to solutions that mitigate the hinderances. We can also look for technologies to optimize the storage, analysis and presentation of data. Only then can we set targets to achieve the benefits mentioned in the Bain and UT studies.

And for me that is both satisfying as business coach and fun as a data nerd.

Dan Meyer heads Sonic Analytics, an analytics advocacy with offices in Manila, the San Francisco Bay Area and as of February 2019, Ocala, FL. With over 20 years in Big Data, Dan is one of the most sought-after public speakers in Asia and has recently begun offering public training seminars in the United States. Dan has also recently joined the Powerteam International family as a small business analytics resource speaker.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

As citizens of this great democracy, we need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). This approach to a data savvy work force starts in school. So, we started an internship program to empower our youth to use Analytics, plan Strategy and Present their insights… ASP!

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress like Saint Leo University’s Women in Data + Science Program and the Data + Women of Tampa Meet Up Group.

Putting Your Data to Work. Let’s Get Started

For those of you who follow me and have not yet attended one of my trainings, I want to share with you what we do. Here are some excerpts from a recent talk I gave in Chicago with Powerteam International.

Let’s talk about how to master your data to increase your income. Over the next couple of blog posts I’m going to walk you through some tips on how to increase the insight you glean from your data and use that to increase yyour income. We’re going to cover five things.

First of all, we’re going to talk about how big data is a wave of disruption. It’s causing massive disruptions in every industry and every type of business. We’re going to talk about how data analytics is a process. You have to be able to understand the entire process, to be able to master the data in your business.

Next, we’re going talk about how to find the right data at the right time. Like anything worth finding, this will require a map. You have to be able to look at your data throughout your business like you’re mapping something and going from start to finish.

We will next cover talking making impactful data visualizations. It is actually something that is quite hard to do, so I am going to talk about some tips on how to make some better visualizations.

Then finally we will cover storytelling with data, which is how you influence decision makers.

To recap…

1. Big Data is Disruption

2. Analytics as a Process

3. Finding the Right Data

4. Data Visualization

5. Storytelling with Data

I generally cover this subject matter over a two-day course, but for written consumption I have condensed it.

I have made it very layman.

So, we’re not going sit here and go through a lot of complicated technical stuff. This is more of a high-level perspective of my experience. Of what I know about analytics and why I want to share with you.

A little about me, so I have about 20 plus years of experience working with analytics or data analysis work. Most of my professional experience came with Wells Fargo Bank.

I worked for 15 years with Wells Fargo’s as a senior analyst. For the last seven or eight years though after I left Wells Fargo, I set up my own business. I’ve been teaching people how to be analysts. Talking to companies about how to use more data in their decision-making. Talking to people about how to really level up with their business.

I’ve been doing a lot of that in Asia and I just recently moved to Florida. I am expanding my business towards the East Coast and up here in Chicago. I also have a master’s in education. I was a teacher before I was an analyst. My favorite thing to do is talk about analytics in a way that could help empower people. This is me fulfilling my destiny.

I have a company called Sonic Elevate. Since 2011, we have trained over 8,000 people. Conducted over 186 trainings. We’ve worked on over 50 projects across Southeast Asia.

We at Sonic, work with a wide range of companies, a broad spectrum of types of businesses. The one thing they all have in common is they all have a lot of data and they’re all struggling to use that data effectively. It doesn’t matter how big or how powerful or how amazing a company is. They have to really look at data in a way that allows them to constantly optimize this.

I want to share with you a few of those things that some of these companies do within the framework of the outline I listed above.

Big Data, Analytics, Data Governance, Data Visualization and Storytelling with Data.

If you want to attend a training or set up some time for a 1 on 1 coaching session, let’s connect.

https://www.coachtheworld.com/en/dataiswealth

Dan Meyer heads Sonic Analytics, an analytics advocacy with offices in Manila, the San Francisco Bay Area and as of February 2019, Ocala, FL. With over 20 years in Big Data, Dan is one of the most sought-after public speakers in Asia and has recently begun offering public training seminars in the United States. Dan has also recently joined the Powerteam International family as a small business analytics resource speaker.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

As citizens of this great democracy, we need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). This approach to a data savvy work force starts in school. So, we started an internship program to empower our youth to use Analytics, plan Strategy and Present their insights… ASP!

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress like Saint Leo University’s Women in Data + Science Program and the Data + Women of Tampa Meet Up Group.

Why Manila Needs A Quantum Mastermind

Per wikipedia, a mastermind groupis a peer-to-peer mentoring concept used to help members solve their problems with input and advice from the other group members. The concept was coined in 1925 by author Napoleon Hillin his book The Law of Success, and described in more detail in his 1937 book, Think and Grow Rich. In his books, Hill discussed the idea of the Master Mind, which referred to two or more people coming together in harmony to solve problems.

I had never really heard of the this concept until I met Bill Walsh, America’s Small Business Expert at a Small Business Expo a few months ago. Meeting Bill was a game changer.

After listening to Bill talk to a group of entrepreneurs and small business owners for 45 minutes, I was shocked to see I had made 4 pages of notes. I immediately signed up to lead a mastermind in Orlando, Florida as I was in the early stages of expanding my business to the Sunshine State.

This is a big deal for me because as a data guy, I tend to execute my business decisions after pretty thorough analysis. But I saw an opportunity and I went for it. I had my first mastermind meeting after 45 days of planning and was successful in bringing together an initial groups of liked mind professionals committed to raising their game through collaboration and mind share.

And then it occurred to me, that if Masterminds are being successfully implemented across the U.S.. why not the Philippines?

Having devoted a huge % of the last decade to leading a charge to upskill the analytics talent in the Philippines, I should be doing the same with a mastermind.

The upward trajectory of small business and entrepreneurship in the Philippines continues to quicken. And in all my years training people to use analytics, I have worked with thousands of Filipinos working for small businesses or themselves looking to be more competitive. Analytics is a big part of leveling up your business. They’re are a lot more pieces to the puzzle of business success, but it occurred to me there was one key one missing.

Masterminds.

I learned back in 2011, that when it comes to economic opportunity in the Philippines, the sky is the limit. My adopted home is a land of almost unlimited potetnial.

So in partnership with Bill Walsh and Powerteam International I will be launching a series of Quantum Mastermind’s in Metro Manila and across the Philippines.

Dan Meyer heads Sonic Analytics, an analytics advocacy with offices in Manila, the San Francisco Bay Area and as of February 2019, Ocala, FL. With over 20 years in Big Data, Dan is one of the most sought-after public speakers in Asia and offers big data coaching and analytics training seminars in the United States. Dan has also recently joined the Powerteam International family as a small business analytics resource speaker.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

As citizens of this great democracy, we need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). This approach to a data savvy work force starts in school. So, we started an internship program to empower our youth to use Analytics, plan Strategy and Present their insights… ASP!

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress like the Analytics Association of the Philippines, Saint Leo University’s Women in Data + Science Program and the Data + Women of Tampa Meet Up Group.

Seven Years in the Philippines

In January it will be seven years since I left Wells Fargo and moved to the Philippines to set up an analytics training company.

As year seven comes to a close, some reflection on how I got to where I am now would be beneficial to my strategic planning for the next seven plus years.

BPO Elite was my first venture and the idea was to train fresh graduates and young professionals to be analysts. It was a pretty successful first year in terms of developing a training approach to teaching the fundamentals of business analytics. Business wise we made a lot of missteps along the way that ended up dooming the business. But the training method was sound and I started to build up my credibility as an analytics experts in the Philippines.

Year One was all about validating that empowering people to be analysts was indeed something I could do successfully.

Year Two brought DMAIPH, Decision-Making, Analytics & Intelligence Philippines to life. Based on the business lessons learned from the shortcomings of BPO Elite I focused more on building an influencer network. Entering in to business deals where other people would market my trainings, freed me up to focus on meeting with influencers. The goal became to work within existing networks and expanding reach so that more and more people learned about the important of analytics with DMAI top of mind on how to train people to do it.

Year Two was the year I built the foundation that allowed me to become the top analytics training expert in the Philippines.

In 2014, I launched a separate business focused on the outsourcing of analytics and data heavy customer care solutions. For a large part of the year the analytics trainings took a back seat to setting up a team of 100 office and home-based staff for clients in the U.S. It wasn’t the reason why I moved to the Philippines, but the opportunity proved to be quite lucrative and allowed me to keep doing analytics trainings and speaking engagements without having to worry to much about that part of my business being profitable.

Year Three was all about doing what needed to be done to make a profit.

By 2015, the outsourcing business was running smoothly, and I was able to get back to doing a lot of partner trainings and public speaking engagements. I had the good fortune to now be one of the most sought-after public speakers on analytics in the region, speaking at schools, conferences, and tech event I was also able to start getting my message outside of Manila and being asked to do events across the country.

Year Four was the year where I my face (actually the credibility behind it) really started to sell.

2016 was a big year for DMAI. I published my first book, Putting Your Data to Work. My goal was to make a guidebook that Filipino professionals could use a both a companion to my trainings as well as a resource to convince decision-makers to invest in more training. I also upped my game with doing more public trainings and speaking at even bigger events. It was a very profitable and satisfying year.

Year Five was where I perfected training content and my public presentations. The book was really the lynchpin behind all that.

By 2017, I began calling what I do as more an advocacy than a business. I got involved in several large-scale analytics training initiatives not just in the Philippines, but across SE Asia. I helped found an association to further an analytics centric focus in the outsourcing industry and was even invited to give testimony before the Senate of the Philippines.

Year Six was where it all came together. I hit that sweet spot where I was really good at something I loved doing and I got well paid for it.

2018 could have easily been a redux of 2017. In fact, we started doing a lot of high paying in-house trainings, bigger and more successful public trainings and I was being invited to take part in all kinds of big picture initiatives across the region. But something changed. 2017 was the year where I had reached the mountain top. As I look back at 2018, I have accomplished everything I had set out to do back in 2012.

That said, I’m not done with the Philippines yet!

Already have 5 trainings booked for the first quarter of 2019. Including ones coming up in January and March. Here are the links to find out more:

https://www.sonicanalytics.com/data-analytics-20

https://www.sonicanalytics.com/data-analytics-30

I will always have a soft spot in my heart for my adopted home in the tropics as I also look to expand my trainings to where I spent much of my youth… the state of Florida. .

Will be laying some seeds the next several months and kick off my first trainings and speaking engagements in the Sunshine state early next year.

Let’s see where the next seven years of championing analytics takes me.

Dan Meyer Quotes 2

DMAIPH – Decision-making, Analytics & Intelligence Philppines

Over the past few years businesses in the Philippines have invested heavily in big data, analytics and data science, but still have not achieved the expected outcomes of data-driven companies.

Based on our learnings from the 100’s of Filipino businesses and 10,000s of Filipinos who have taken part in DMAIPH Analytics trainings all across the country, we have crafted a proven,  non-technical approach to upskilling your team in analytics.

In 2019, we will be launching two new training programs: (1) Our DMAIPH Applied Analytics Master Class series for executives, leaders and decision-makers and our (2) DMAIPH Applied Analytics Boot Camp series for practicing analysts.

We will feature case studies of real Filipino run business, exercises based on actual analytics challenges being solved by Filipino analysts, and provide you with a copy of my book, Putting Your Data to Work, an analytics guidebook for the Filipino professional

Connect with us via our marketing partner, http://www.sonicanalytics.com to learn about upcoming analytics trainings and events. 

 

From Putting Your Data to Work… A Basic Overview of Analytics

Analytics is about looking for patterns in data to help answer questions. Most businesses use analytics to help ensure more data-driven decision-making.

The primary people responsible for conducting analytics on the massive amounts of data we have today are analysts. Analysts are skilled in using various technologies and methodologies to identify, inventory and integrate large amounts of data quickly.

Many Analysts today feel like they are drowning in a sea of data. They need to know how to take control of their data and analysis to quickly answer business questions and make critical decisions. They want to confidently present results and solutions to their managers, colleagues and clients.

You should get started by building a baseline understanding of analytics. The term analytics can often be used interchangeably with statistics and data science. What separates analytics from disciplines like statistics and data science is generally the speed of the analysis and the focus on solving business problems.

The most common form of analytics is business analytics, which is usually used by senior leaders and decision-makers to investigate problems, validate assumptions and to guide strategic planning.

Business analysts are therefore the most common type of analyst. If you do a job search on the title analyst, as many as half the posting will likely be business analysts. However, analytics can be used in an almost limitless number of business functions in specific areas like HR, recruitment, marketing, finance, and so on. Each one can have its very own analyst.

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Analysts have been around a long time, but recent technological advances have both allowed us to produce and capture more data as well as give us the ability to analyze immense data sets quickly. Thus we are amidst a huge boom in the applications of analytics and the need for analytics talent across the globe. Analytics is something just about every business leader is trying to figure out how to use more effectively in their business. To add to our challenge, the demand for good analysts is booming just as fast as the explosion in big data.

As a result, there is a huge shortage of people who are skilled in working with data to answer questions and solve problems. This is why you have seen the number of analyst job postings increasing at an amazing rate.

If you are a business leader, manager, owner, and/or executive are not actively trying to surround yourself with analysts and if you are not infusing an analytics centric culture in your business, you will most likely soon see your business fail.

A business needs analysts to make sense of big data, manage the storage of the data, and know when to use which of the 4 types of analytics (descriptive, diagnostic, predictive, and prescriptive). To be effective, analysts need to have business intelligence tools to create data visualizations, build business dashboards and tell stories with data.

So whether you are an analyst or someone who oversees analysts, Putting Your Data to Work is designed as guidebook to help you get the most out of your business data.

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DMAIPH – Decision-making, Analytics & Intelligence Philppines

Over the past few years businesses in the Philippines have invested heavily in big data, analytics and data science, but still have not achieved the expected outcomes of data-driven companies.

Based on our learnings from the 100’s of Filipino businesses and 10,000s of Filipinos who have taken part in DMAIPH Analytics trainings all across the country, we have crafted a proven,  non-technical approach to upskilling your team in analytics.

In 2019, we will be launching two new training programs: (1) Our DMAIPH Applied Analytics Master Class series for executives, leaders and decision-makers and our (2) DMAIPH Applied Analytics Boot Camp series for practicing analysts.

How Many Data Scientists are There and is There a Shortage?

Recently saw this article on KDnuggets (check them out if you aren’t already subscribed) and thought it was worth using to update some of my slides about the current talent shortage for Data Science & Analytics (DSA) skills.

This shortage is definitely acute here in the Philippines.

The 2011 McKinsey report on Big Data said that “The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of Big Data.”


In 2014, KDnuggets examined “How Many Data Scientists are out there?” and came with an estimate of 50-100,000, and did not see much evidence of a massive shortage then. In 2014, we found only about 1,000 job ads for “Data Scientist” on indeed.com. 


Now that we reached 2018, KDnuggets has examined how accurate were those predictions and tried to answer three questions:

1. Is there a shortage of Data Scientists now?
2. How many “Data Scientists” are there , both in name and in function ?
3. What are the future prospects for Data Scientists?

 

The answer to the first question is a resounding YES!
  • LinkedIn Workforce Report for US (August 2018) says “Demand for data scientists is off the charts  … data science skills shortages are present in almost every large U.S. city. Nationally, we have a shortage of 151,717 people with data science skills.
  • Note that LinkedIn reports shortages for people with “Data Science Skills”, not necessarily people with “Data Scientist” title.
  • We can estimate the demand for “Data Scientists” from two popular job search sites – indeed and Glassdoor.
  • Search on indeed.com for “data scientist” (in quotes) in USA finds only about 4,800 jobs. However, in a search for data scientist without quotes, about 30,000 jobs.
US is the largest but not the only market for Data Scientists. We can also see strong demand for Data Scientists elsewhere:
  • UK: 1,100 jobs
  • Germany: 900 jobs
  • France: 718 jobs
  • Philippines: 599 jobs  — You Read That Right! More than India.
  • India: 500 jobs
Glassdoor search for “Data Scientist” finds about 26,000 jobs in USA (same results if quotes are removed).
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Question 2: How Many “Data Scientists” are There, Both in Name and in Function?

Google search defines a data scientist as “a person employed to analyze and interpret complex digital data, such as the usage statistics of a website, especially in order to assist a business in its decision-making.”

There are many people in the industry and academia who do this work without having the formal title of a data scientist, since Data Science is an interdisciplinary field at the intersection of Statistics, Computer Science, Machine Learning, and Business. We can estimate the current population of Data Scientist by examining popular data science platforms.

Kaggle (now part of Google) is a platform for data science  and analytics competitions. It claims to be the world’s largest community of active data scientists.

While not all Data Scientists take part in Kaggle competitions or have a Kaggle account, and not all Kagglersdo work of data science, it is reasonable to assume a large overlap.

On Sep 19, 2018 Kaggle says they surpassed 2 million members in August 2018.

Since not all Kaggle members are active, Kaggle membership is probably a global upper bound for people engaged in data science.

KDnuggets is now reaching over 500,000 unique visitors per month.

KDnuggets now has about 240,000 subscribers/followers over Twitter, LinkedIn, Facebook, RSS, and email.

On LinkedIn, there are many groups dedicated to data science, and although the engagement in those groups has been falling, we can use their membership as a rough estimate. Here are three of the largest groups

  • Big Data and Analytics  –  339,000
  • Data Science Central – 278,000
  • Data Mining, Statistics, Big Data, Data Visualization, and Data Science – 170,000

Searching LinkedIn for “data scientist”  (quotes are important) we find over 100,000 people with that actual title.  So if globally between 200,000 and 1,000,000 people are doing some Data Science related work, then a majority of them does not have a Data Scientist title.

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We can also estimate the by looking at activities related to languages and platforms most connected to Data Science: R, Python, Machine Learning libraries, Spark, and Jupyter.

  • Apache Spark Meetups had 225K members recently and growing every month.
  • Intel Capital estimated that there 1 million R programmers worldwide.
  • Based on the public data on python.orgwebsite, there have been around 2.75 million downloads.
  • Jupyterproject has around 3 million users at present.

These numbers can give us a rough upper limit on the number of data analysts/data scientists around the world.

So yeah, to answer the question, there are at least 200,000

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Question 3: What are the Future Prospects for Data Scientists?

The near-term future for Data Scientists looks bright.

LinkedIn 2017 emerging jobs report claims that machine learning engineers working today has increased by 9.8 times as compared to 5 years ago.

Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn. Data scientist roles have grown over 650% since 2012.

Job growth in the next decade is expected to outstrip growth during the previous decade, creating 11.5M jobs in the Data Science/Analytics area by 2026, according to the U.S. Bureau of Labor Statistics.

IBM recently claimed that by 2020 the number of Data Science and Analytics job listings is projected to grow by nearly 364,000 listings to approximately 2,720,000. No matter what the true number of data professionals out there currently, their number is likely to grow in the near future.

So What are the Future Prospects for Data Scientists in the Philippines?

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Based on Data from APEC (Asia Pacific Economic Cooperation), there is both a huge demand here in the Philippines as well as in the jobs where the Philippines already has an outsourcing pipeline too.

SO what does that mean for you?

You Need to Know Exactly What You Need to Hire/Learn how to have/be a Data Scientist?

And it’s not easy.

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To assemble a team of DSA Practitioners, you need to make sure you have the right combination of talent.

Here is how I would start.

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Make sure you have people who can do these functions.

And if you want to learn how to be one of these key players, I’m betting you need to know where to start.

So wether you want to be a DSA enabled professional or you want to assemble a DSA team, here is a better understanding of how that looks.

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Yeah I know. It is a lot!

So, what now?

Connect with DMAIPH and we will get you started!

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DMAIPH – Decision-making, Analytics & Intelligence Philppines

Over the past few years businesses in the Philippines have invested heavily in big data, analytics and data science, but still have not achieved the expected outcomes of data-driven companies.

Based on our learnings from the 100’s of Filipino businesses and 10,000s of Filipinos who have taken part in DMAIPH Analytics trainings all across the country, we have crafted a proven,  non-technical approach to upskilling your team in analytics.

In 2019, we will be launching two new training programs: (1) Our DMAIPH Applied Analytics Master Class series for executives, leaders and decision-makers and our (2) DMAIPH Applied Analytics Boot Camp series for practicing analysts.

We will feature case studies of real Filipino run business, exercises based on actual analytics challenges being solved by Filipino analysts, and provide you with a copy of my book, Putting Your Data to Work, an analytics guidebook for the Filipino professional

Connect with us via our marketing partner, http://www.sonicanalytics.com to learn about upcoming analytics trainings and events. 

The Key Ingredients of Impactful Analytics Trainings – Plan Your 2019 Analytics Trainings Now

When I first started conducting analytics trainings in the Philippines back in 2012, I was pretty much the only game in town.

There were very few companies offering any kind of big data management training, the terms data scientist and data storytelling were not part of the lexicon and 90+% of companies operating in the Philippines were pretty much just using MS Excel for their analysis and reporting.

You want to know what has changed in the past six years?

Not much, except that there are now at least a dozen companies offering analytics themed trainings, courses and certifications.

Sure they all sound like they are going to teach you cutting edge techniques to finally get a handle on all your big data, but in the end I keep hearing the same thing… the training I went to didn’t really give me anything I can use.

The training was too abstract, to high level, to dependent on one type of software, etc are the constant feedback I here from executives and managers who have been spending on outside training for their teams.

That plus it’s gotten quite expensive.

Analytics Executive Masterclasses, Big Data Boot Camps, Master’s Degrees in Data Science… they cost a lot when most companies are having to tighten their training budgets.

So the risk of wasting time and money on something that is not really going to move the needle is becoming a problem with all these analytics trainings.

With all the efforts of so many people to “help” the Filipino people level up their organizations analytics talent, you’d think by now we should be really competent when it comes to the use of advanced analytics techniques.

Unfortunately, that is just not been the case. There are definitely some pockets here and there were some world class analytics is happening, but for the most part we have to accept the reality that we have a long way to go to be on the level of Singapore, Viet Nam or China when it comes to analytics.

The one thing that has no changed at all since I started all this back in 2012, is the fact that most companies are still relying mostly on MS Excel for 90+% of their analytics.

Everyone wanted to run before they could walk. They through money at high priced trainings with cool sounding names promising to supercharge your business.

I think it’s time to face the reality, that while a few of our companies can do the big stuff, they are also sucking up all the available talent. It’s really, really hard to build a solid analytics team in your business without breaking the bank.

Unless you do what I do.

Get back to the basics.

Make sure everyone is able to really optimize the use of Excel.

Build a solid foundation in analytics that starts with aligning the data gathers, data managers, analysis builders and data presenters.

Make sure your dats is clean, easy to access, fresh, and shared.

Focus on what’s most important to the business.

Then you add on.

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So when you go out to find an analytics training for your team, look for some basic ingredients.

The 4 Key Content Ingredients to Analytics Training are:

  1. Data Sourcing
  2. Data Management
  3. Data Analysis
  4. Data Presentation

If its missing one or more of these ingredients, the training is going to leave you with a sense that something is missing. You will likely struggle to implement what you learned in class.

The 3 Key Trainer Ingredients to Analytics Training are:

  1. Knowledge
  2. Engagement
  3. Hands on Practice

 

Over the next couple of weeks I’ll be blogging about each of these ingredients, so that we you and your team sit down to plan your analytics upskill strategy for 2019 you’ve got all the angles covered.

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The Data Analyst Era

FIRST THINGS FIRST,

 

https://www.sonicanalytics.com/

Do you think this is still the career era for nurses? The era of Physical Therapist?  The Networking era? The I.T eras? Why don’t you try to type in google right now and search Most in demand jobs in the futureand you will mostly find “Analyst” on every job description in demand in the future. The worst case is that you will also discover the worst job in the future, if you have been caught on that category. I say we are here to save you.

We are here to help you start building your future right now

 

https://www.facebook.com/pg/dmaiph/photos/?tab=album&album_id=1316439141834859And be the first one to learn and know what is in demand. We are here to supply you knowledge and provide you a strong foundation in analytics. We have the same curiosity when it comes to analytics? Trust me, I’m not a big fan of numbers, but I’m wrong, I never thought analytics also plays a role in giving us a perception through data visualization with the right purpose of using numbers. Not just some numbers you need to compute instructed by your professors to do so.

 

It’s all about numbers but.

It also equips with visualization with easy number to analyze. If you notice right now visualization plays an important role in our digital age today. Because we prefer to see imagery instead of computation, we prefer reading pictures instead reading books. Analytics have the same concept and there is a huge shortage of people who are skilled in working with data to answer questions to solve problems. Sonic Analytics

Therefore, you have seen the number of analyst job postings increasing at an amazing rate. Then why not apply it into our career, use this as an asset for you to innovate.

 

For those who are interested in or just beginning a career in data analysis,

here’s a few tips to help you get started,

Be willing to learn,

Being a sponge in learning data analysis (and with any field) can only reap the benefits. With data analysis, it’s important to start small and learn the basics and foundations before moving on and tackling bigger things. learning-picture.jpg

Building a solid foundation of education in the beginning helps you know the basics and allows you to work on building your skills and knowledge as you progress through your career.

 

Don’t be afraid to ask questions and get help

You can’t do it alone, and not seeing out help can cost you opportunities as you progress through your career. Reaching out isn’t a sign of defeat or being unknowledgeable, it shows that you’re passionate and want to learn more but need the proper guidance to get you there.images

Becoming a data analyst is a great career option for those who love to work with numbers with the right tools (We will guide you) to help you and to help companies, organizations draw conclusions and arm them with the information they need to make for decision making.

If you’re a beginner,

26993474_1325177484294358_3157857508557595202_nDon’t worry, we are here to teach you the important fundamentals of data analytics step by step in a layman’s term.

Now, it’s your big chance to participate in our upcoming trainings which focuses more on teaching young professionals like you.

 

DMAIPH is proud to present this 3-day Data Analytics training that covers different aspects of data identification, collection, storage, transformation, and analysis and involve hands-on use of common data management and analysis tools such as Excel, SQL and in depth learning of the tool “Tableau”, this is also designed for those with little to no prior experience with these tools.

Analytics Experts Dan Meyer (DMAIPH) and Dominic Ligot (Cirrolytix) have joined forces to offer a unique training focusing on both the Analysis and the Management of Big Data.

Attendees will learn how to identify the right data, how data can be efficiently stored, then transformed into a friendly form for analysis, and finally how data analysis can yield insights.

Come and Join Us!

Data Analytics 3.0

February 20 – 22 | 9:00am to 5:00pm

For inquiries: info@sonicanalytics.com | marketing@sonicanalytics.com

|  (02) 959 – 8017 | 0917-799-2827

 

Register Now!